curranmaguire
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curranmaguire
I've managed to fix it by using the TransformerModel instead of BARTModel if you still need a fix ``` from fairseq.models.transformer import TransformerModel d2_bart = TransformerModel.from_pretrained( d2_path, checkpoint_file=args.d2_model_path.split("/")[-1], data_name_or_path=d2_data_bin, )...